Shot boundary detection using co-occurrence of global motion in video stream

We propose a method of shot boundary detection based on the co-occurrence of global motion in video stream. In addition to the conventional features based on appearance and local motion, we apply ST (SpaceTime) patch analysis for detecting global motion in video stream. And then we perform shot boundary detection by constructing AdaBoost classifiers which represent the co-occurrence of global motion and the conventional features. Experimental results show that our method had 3.8% higher F-measure value than that of the conventional method for gradual shot boundary detection.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Hironobu Fujiyoshi, Yosuke Murai
• Keywords: Computer Vision, Conventional Method, Global Motion, ICPR 2008, Shot Boundary Detection